New model from https://wandb.ai/wandb/huggingtweets/runs/1f41vrj1

README.md

@@ -47,15 +47,15 @@ The model was trained on tweets from Prose and Khans.
 | Short tweets | 292 |
 | Tweets kept | 2855 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1zogg1xj/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
+[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3cy6pff6/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
 
 ## Training procedure
 
 The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @temujin9's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2m1425j3) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1f41vrj1) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2m1425j3/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1f41vrj1/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cfe229f62673a524c46421bd0d4a15d5b157eb33bb22b3640981a1ec9f7f9196
+oid sha256:a91f886e4ce080fad30008fc7535f44345a5463f3514b9f5c036c20e53045bf8
 size 510404393

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:790189d783eb17de9ca95a12d746aa95d95516f8c153ca52edf8015a954704dc
+oid sha256:bc6748608d5c49e738a5864251dc2bb66ea839e694623d49d0acc03b6aed5ded
 size 2991